Abstract: A first input to a mobile device indicates a first navigation destination at a first level of specificity. The mobile device initiates navigation towards a first location corresponding to the first navigation destination. While navigation towards the first location corresponding to the first navigation destination is ongoing and before reaching the first location, in accordance with a determination that one or more first criteria are satisfied, the mobile device prompts for an input for determination a second location corresponding to a second navigation destination with a second level of specificity, the second level of specificity more specific than the first level of specificity. The mobile device receives a second input in response to the prompt. In accordance with a determination that the second input satisfies one or more second criteria, the mobile device initiates navigation towards the second location corresponding to the second navigation destination.

Abstract: A method for automatically diagnosing inherited retinal disease includes receiving a plurality of dissimilar types of data and pre-processing at least one of the plurality of dissimilar types of data to generate a feature vector descriptive of a patient. Further, the method includes, for each of the plurality of dissimilar types of data: (i) comparing portions of the respective type of data or a corresponding feature vector to data in a mutation proven database; (ii) generating a ranked list of matches between the patient and the plurality of patients with known diagnoses; and (iii) storing the ranked list of matches in an output database. A diagnosis routine then aggregates a plurality of ranked lists of matches in the output database to generate a ranked list of genetic diagnoses corresponding to the patient and sends an indication of the ranked list of genetic diagnoses to the end user device.

Abstract: A method for automatically diagnosing inherited retinal disease includes receiving a plurality of dissimilar types of data and pre-processing at least one of the plurality of dissimilar types of data to generate a feature vector descriptive of a patient. Further, the method includes, for each of the plurality of dissimilar types of data: (i) comparing portions of the respective type of data or a corresponding feature vector to data in a mutation proven database; (ii) generating a ranked list of matches between the patient and the plurality of patients with known diagnoses; and (iii) storing the ranked list of matches in an output database. A diagnosis routine then aggregates a plurality of ranked lists of matches in the output database to generate a ranked list of genetic diagnoses corresponding to the patient and sends an indication of the ranked list of genetic diagnoses to the end user device.